Building and Running Llama.cpp on an Air-Gapped Mac
The article discusses the challenges of building and running Llama.cpp on an air-gapped Mac. It highlights issues with GateKeeper errors and the need to disable certain features to build offline. The author provides a step-by-step guide for building the software from source and offers solutions for dealing with GateKeeper prompts.
- ▪Building Llama.cpp on a Mac without internet can lead to GateKeeper errors.
- ▪Disabling both LLAMA_BUILD_UI and LLAMA_BUILD_WEBUI is necessary to build offline successfully.
- ▪The article includes a detailed guide on how to build Llama.cpp from source on MacOS.
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/someoddcodeguy/building-and-running-llamacpp-on-an-air-gapped-mac-3223 |
| Publication time | Mon, 18 May 2026 00:03:39 +0000 |
| Retrieval time | 2026-05-18T00:33:21.159Z |
| Last seen | 2026-05-18T00:33:21.159Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | YFss5J40KT1R |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3490530) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } SomeOddCodeGuy Posted on May 18 • Originally published at someoddcodeguy.dev Building and Running Llama.cpp on an Air-Gapped Mac #ai #cpp #llm #opensource If you ever tried to run Llama.cpp on a MacOS device that doesn't have internet on it, you've probably hit the annoying GateKeeper errors that it's downloaded from the internet and you should delete it. Generally I just build from source to avoid that, but I ran into something interesting that I thought I'd share.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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